Forestry-TEP responds to user needs for sentinel data value adding in cloud

Tuomas Häme, Renne Tergujeff, Yrjö Rauste, Clive Farquhar, Peter van Zetten, Philip Kershaw, Arnaud de Groof, Jarno Hämäläinen, Joost van Bemmelen, Frank Martin Seifert

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

Abstract

The response from the user community has shown a great need for the Forestry Thematic Exploitation Platform (Forestry-TEP) that entered into the pre-operational phase in summer 2017. Forestry TEP offers a one-stop-shop for forestry remote sensing services. It makes data value adding quicker and smoother than traditional approaches that the users have applied. The platform offers access to imagery, computing infrastructure, ready-made value adding services and an opportunity for users to develop and upload their own applications to the platform. It forms a worldwide marketing channel for commercial remote sensing services and a networking forum for users. Ten thematic processing services are presently available on the Forestry TEP - from computing vegetation indices and mapping of land and forest cover to biomass and change estimation. In addition, a user can utilize all the features of the Sentinel Application Platform (SNAP) image processing application, the Monteverdi/Orfeo toolbox, and the open source QGIS tool. The platform will move to an operational phase in 2018.
Original languageEnglish
Title of host publication2017 conference on Big Data from Space
Subtitle of host publicationBiDS’17
PublisherEuropean Commission EC
Pages239-242
ISBN (Print)978-92-79-73527-1
DOIs
Publication statusPublished - 2017
MoE publication typeB3 Non-refereed article in conference proceedings
EventConference on Big Data from Space, BiDS' 2017 - Toulouse, France
Duration: 28 Nov 201730 Nov 2017

Conference

ConferenceConference on Big Data from Space, BiDS' 2017
Abbreviated title BiDS' 2017
CountryFrance
CityToulouse
Period28/11/1730/11/17

Fingerprint

forestry
transparent exopolymer particle
remote sensing
vegetation mapping
networking
vegetation index
forest cover
image processing
marketing
land cover
imagery
infrastructure
services
need
biomass
summer

Keywords

  • forestry
  • earth observation
  • remote sensing
  • platform

Cite this

Häme, T., Tergujeff, R., Rauste, Y., Farquhar, C., van Zetten, P., Kershaw, P., ... Seifert, F. M. (2017). Forestry-TEP responds to user needs for sentinel data value adding in cloud. In 2017 conference on Big Data from Space : BiDS’17 (pp. 239-242). European Commission EC. https://doi.org/10.2760/383579
Häme, Tuomas ; Tergujeff, Renne ; Rauste, Yrjö ; Farquhar, Clive ; van Zetten, Peter ; Kershaw, Philip ; de Groof, Arnaud ; Hämäläinen, Jarno ; van Bemmelen, Joost ; Seifert, Frank Martin. / Forestry-TEP responds to user needs for sentinel data value adding in cloud. 2017 conference on Big Data from Space : BiDS’17. European Commission EC, 2017. pp. 239-242
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title = "Forestry-TEP responds to user needs for sentinel data value adding in cloud",
abstract = "The response from the user community has shown a great need for the Forestry Thematic Exploitation Platform (Forestry-TEP) that entered into the pre-operational phase in summer 2017. Forestry TEP offers a one-stop-shop for forestry remote sensing services. It makes data value adding quicker and smoother than traditional approaches that the users have applied. The platform offers access to imagery, computing infrastructure, ready-made value adding services and an opportunity for users to develop and upload their own applications to the platform. It forms a worldwide marketing channel for commercial remote sensing services and a networking forum for users. Ten thematic processing services are presently available on the Forestry TEP - from computing vegetation indices and mapping of land and forest cover to biomass and change estimation. In addition, a user can utilize all the features of the Sentinel Application Platform (SNAP) image processing application, the Monteverdi/Orfeo toolbox, and the open source QGIS tool. The platform will move to an operational phase in 2018.",
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author = "Tuomas H{\"a}me and Renne Tergujeff and Yrj{\"o} Rauste and Clive Farquhar and {van Zetten}, Peter and Philip Kershaw and {de Groof}, Arnaud and Jarno H{\"a}m{\"a}l{\"a}inen and {van Bemmelen}, Joost and Seifert, {Frank Martin}",
year = "2017",
doi = "10.2760/383579",
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Häme, T, Tergujeff, R, Rauste, Y, Farquhar, C, van Zetten, P, Kershaw, P, de Groof, A, Hämäläinen, J, van Bemmelen, J & Seifert, FM 2017, Forestry-TEP responds to user needs for sentinel data value adding in cloud. in 2017 conference on Big Data from Space : BiDS’17. European Commission EC, pp. 239-242, Conference on Big Data from Space, BiDS' 2017, Toulouse, France, 28/11/17. https://doi.org/10.2760/383579

Forestry-TEP responds to user needs for sentinel data value adding in cloud. / Häme, Tuomas; Tergujeff, Renne; Rauste, Yrjö; Farquhar, Clive; van Zetten, Peter; Kershaw, Philip; de Groof, Arnaud; Hämäläinen, Jarno; van Bemmelen, Joost; Seifert, Frank Martin.

2017 conference on Big Data from Space : BiDS’17. European Commission EC, 2017. p. 239-242.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

TY - GEN

T1 - Forestry-TEP responds to user needs for sentinel data value adding in cloud

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AU - Tergujeff, Renne

AU - Rauste, Yrjö

AU - Farquhar, Clive

AU - van Zetten, Peter

AU - Kershaw, Philip

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AU - Hämäläinen, Jarno

AU - van Bemmelen, Joost

AU - Seifert, Frank Martin

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N2 - The response from the user community has shown a great need for the Forestry Thematic Exploitation Platform (Forestry-TEP) that entered into the pre-operational phase in summer 2017. Forestry TEP offers a one-stop-shop for forestry remote sensing services. It makes data value adding quicker and smoother than traditional approaches that the users have applied. The platform offers access to imagery, computing infrastructure, ready-made value adding services and an opportunity for users to develop and upload their own applications to the platform. It forms a worldwide marketing channel for commercial remote sensing services and a networking forum for users. Ten thematic processing services are presently available on the Forestry TEP - from computing vegetation indices and mapping of land and forest cover to biomass and change estimation. In addition, a user can utilize all the features of the Sentinel Application Platform (SNAP) image processing application, the Monteverdi/Orfeo toolbox, and the open source QGIS tool. The platform will move to an operational phase in 2018.

AB - The response from the user community has shown a great need for the Forestry Thematic Exploitation Platform (Forestry-TEP) that entered into the pre-operational phase in summer 2017. Forestry TEP offers a one-stop-shop for forestry remote sensing services. It makes data value adding quicker and smoother than traditional approaches that the users have applied. The platform offers access to imagery, computing infrastructure, ready-made value adding services and an opportunity for users to develop and upload their own applications to the platform. It forms a worldwide marketing channel for commercial remote sensing services and a networking forum for users. Ten thematic processing services are presently available on the Forestry TEP - from computing vegetation indices and mapping of land and forest cover to biomass and change estimation. In addition, a user can utilize all the features of the Sentinel Application Platform (SNAP) image processing application, the Monteverdi/Orfeo toolbox, and the open source QGIS tool. The platform will move to an operational phase in 2018.

KW - forestry

KW - earth observation

KW - remote sensing

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U2 - 10.2760/383579

DO - 10.2760/383579

M3 - Conference article in proceedings

SN - 978-92-79-73527-1

SP - 239

EP - 242

BT - 2017 conference on Big Data from Space

PB - European Commission EC

ER -

Häme T, Tergujeff R, Rauste Y, Farquhar C, van Zetten P, Kershaw P et al. Forestry-TEP responds to user needs for sentinel data value adding in cloud. In 2017 conference on Big Data from Space : BiDS’17. European Commission EC. 2017. p. 239-242 https://doi.org/10.2760/383579